A graduate of Oxford University, Adam began his career in publishing before moving into IT. Databases soon became a passion, and his experience in this arena ranges from Access to Oracle and MySQL, with occasional sorties into the world of DB2. He is, however, most at home in the Microsoft universe using SQL Server, SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, and Power BI, both on-premises and in Azure.

Business Intelligence has been Adam's principal focus for the last 25 years. He has applied his skills for a range of clients in industry sectors such as finance, utilities, telecommunications, insurance, manufacturing, and banking.

Adam is a frequent contributor to [...] and Simple-Talk. He has written numerous articles for various French IT publications. A fluent French speaker, Adam has worked in France and Switzerland for many years. He speaks regularly at events such as SQLBits, SQL Saturdays, and local SQL Server user groups.

Adam is the author of the following Apress books: SQL Server Data Integration Recipes; High Impact Data Visualization with Power View, Power Map, and Power BI; Business Intelligence with SQL Server Reporting Services; and Data Mashup with Microsoft Excel (Apress).

1. Discovering and Loading Data with Power BI Desktop.- 2. Discovering and Loading File-Based Data with Power BI Desktop.- 3. Loading Data from Databases and Data Warehouses.- 4. DirectQuery and Connect Live.- 5. Loading Data from the Web and the Cloud.- 6. Loading Data from Other Data Sources.- 7. Structuring Imported Data.- 8. Data Transformation and Cleansing.- 9. Restructuring Data.- 10. Complex Data Loads.- 11. Organizing, Managing, and Parameterizing Queries.- 12. The M Language.- 13. Creating a Data Model.- 14. Table Visuals.- 15. Matrix and Card Visuals.- 16. Charts in Power BI Desktop.- 17. Formatting Charts in Power BI Desktop.- 18. Other Types of Visuals.- 19. Third-Party Visuals.- 20. Maps in Power BI Desktop.- 21. Filtering Data.- 22. Using Slicers.- 23. Enhancing Dashboards.- 24. Advanced Dashboarding Techniques.- 25. Appendix A: Sample Data.